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Titlebook: Scatter Search; Methodology and Impl Manuel Laguna,Rafael Martí Book 2003 Springer Science+Business Media New York 2003 algorithms.code.evo

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书目名称Scatter Search
副标题Methodology and Impl
编辑Manuel Laguna,Rafael Martí
视频video
概述Includes supplementary material:
丛书名称Operations Research/Computer Science Interfaces Series
图书封面Titlebook: Scatter Search; Methodology and Impl Manuel Laguna,Rafael Martí Book 2003 Springer Science+Business Media New York 2003 algorithms.code.evo
描述The book .Scatter Search. by Manuel Laguna and Rafael Martí represents a long-awaited "missing link" in the literature of evolutionary methods. Scatter Search (SS)-together with its generalized form called Path Relinking-constitutes the only evolutionary approach that embraces a collection of principles from Tabu Search (TS), an approach popularly regarded to be divorced from evolutionary procedures. The TS perspective, which is responsible for introducing adaptive memory strategies into the metaheuristic literature (at purposeful level beyond simple inheritance mechanisms), may at first seem to be at odds with population-based approaches. Yet this perspective equips SS with a remarkably effective foundation for solving a wide range of practical problems. The successes documented by .Scatter Search. come not so much from the adoption of adaptive memory in the range of ways proposed in Tabu Search (except where, as often happens, SS is advantageously coupled with TS), but fromthe use of strategic ideas initially proposed for exploiting adaptive memory, which blend harmoniously with the structure of Scatter Search. From a historical perspective, the dedicated use of heuristic strateg
出版日期Book 2003
关键词algorithms; code; evolution; genetic algorithms; knowledge; linear optimization; memory; nonlinear optimiza
版次1
doihttps://doi.org/10.1007/978-1-4615-0337-8
isbn_softcover978-1-4020-7376-2
isbn_ebook978-1-4615-0337-8Series ISSN 1387-666X Series E-ISSN 2698-5489
issn_series 1387-666X
copyrightSpringer Science+Business Media New York 2003
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Introduction,Scatter search (SS) is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first proposed in the 1970s and were based on formulations, dating back to the 1960s, for combining decision rules and problem constraints.
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Tutorial,This is our third and last tutorial chapter. The goal of this chapter is to illustrate the development of a scatter search procedure for a combinatorial optimization problem.
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Advanced Scatter Search Designs,The preceding three tutorial chapters described somewhat basic implementations of scatter search. The purpose was to introduce basic scatter search strategies in three different problem settings. However, not all the elements implemented in the tutorial chapter can be considered basic.
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